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Research report
AI Does Not Remove the Bottleneck
Find your real workflow constraints before buying AI tools.
AurvikAI · AI Chatbots
Chatbots that actually answer. Not ones that make you ask twice.
Enterprise conversational AI grounded in your content, your systems, and your policies.
Your customers should not have to fight their way through a chatbot to get a simple answer. We build conversational AI that understands your business, finds answers in your actual content, checks the systems that hold the information, and knows when to hand the conversation to a person. No endless loops. No confident guesses. Just useful answers that move the conversation forward.
600+
Software products and digital solutions delivered by our teams
70+
Countries where software built by our team is in use
15+ years
Of combined team experience
Clients we've worked with
Most chatbots fail before the conversation even starts.
They do not know your business, they cannot access the information that matters, and they keep talking when they should hand the conversation to a person.
Without proper grounding
- Scripted decision trees fall apart when customers phrase questions differently
- Answers come from general model knowledge instead of your approved content
- No access to order, account, or ticket information means simple questions become support tickets
- Confident wrong answers damage trust
- Poor handoffs force customers to start the conversation all over again
With AurvikAI
- Find the right answer: retrieve information from your documentation and show the source
- Connect to your systems: access the information needed to answer specific questions
- Know when to stop: escalate based on uncertainty, topic, sentiment, or business rules
- Keep the context: give your team the full conversation when a human takes over
- Learn from every conversation: make unanswered questions visible so the experience keeps improving
The conversation is only half the job.
A chatbot can sound impressive and still be completely useless. The real work happens behind the chat window. We connect your chatbot to the information your customers and teams actually need, test it against real questions, and make sure it knows when the answer is not there. That means your chatbot is not simply good at talking. It is good at finding the right answer.
We test against the questions your customers actually asked last month, not the questions we wish they had asked.
Discuss your chatbot project18+ years
Of SaaS and AI leadership behind every build
250+ products
Built on our founder’s frameworks
Chatbots built around what your business actually needs
Customer support, internal knowledge, sales, messaging, and more.
We recommend the tool that fits your team, not the one we have the deepest partnership with.
Conversations with the people who buy from you. Resolve more questions without adding more support headcount.
Support resolutionCore
Answer product, account, and policy questions using your approved content.
Order and account lookupSystems
Check real information so “Where is my order?” does not become a support ticket.
Pre-sales qualificationRevenue
Answer product questions, understand intent, and pass qualified conversations to sales.
Smart escalationHandoff
Know when to stop and give your team the full conversation.
Sometimes, the right answer is an agent.
A chatbot answers. An agent acts.
If the job is to explain a policy, find a document, check an order, answer a product question, or qualify an enquiry, a chatbot is usually the right tool.
If the job is to complete a multi-step workflow, update systems, or take an action with real consequences, you need an agent with the right controls and approval points.
And you do not have to decide everything on day one. Chatbots and agents can share the same foundations, so your solution can grow as the job gets bigger.
Chatbot
- Answers questions
- Finds information
- Explains
- Escalates when needed
Agent
- Takes action
- Completes workflows
- Updates systems
- Works with approval gates
Not sure which one you need? We will help you choose.
A chatbot that guesses is worse than no chatbot at all.
Your chatbot represents your business, so getting the answer wrong is not good enough.
Every deployment is built with grounded answers, clear boundaries, safe fallback behaviour, protection against prompt injection, PII-aware logging, and a review process your team can actually use.
If the chatbot does not have a reliable answer, it should say so. If a person needs to step in, the conversation should already be there waiting for them.
“I don’t know. Here is a human.”
That is not a failure. Knowing when to stop is part of a good chatbot.
30
Specialists across engineering, AI, design, and delivery
Every answer
Carries its source, and every conversation is reviewable
Common questions about AI chatbots
From content readiness to human handover.
Will it make things up?
We build the chatbot to answer from your approved content rather than simply relying on general model knowledge. When your content does not cover a question, it can say so and offer a human instead of guessing. We test that behaviour before launch, show the source behind answers, and keep conversations reviewable so your team can see where the chatbot performs well and where it needs improvement.
How much content do we need before this works?
Less than most people expect, but it needs to be current. A chatbot built on outdated information can give outdated answers with complete confidence. During discovery, we review the content you already have and identify what needs to be cleaned up or updated before the build. You do not need a perfect knowledge base. You need a useful one.
Can it access our systems, or is it just documentation?
Both. A chatbot becomes much more useful when it can access the information your business already holds. That could mean checking an order, looking up an account, or finding the status of a ticket. Access is limited to what the conversation needs and can follow your existing permissions rather than creating a completely separate access system.
What happens when it hands over to a person?
The person receives the conversation, the information the chatbot found, and the reason it escalated. The customer does not have to start again or explain the same problem twice. Good handover is part of the chatbot experience, not something added at the end.
How long does a chatbot project take?
It depends on what you want the chatbot to do, how ready your content is, and whether system integrations are needed. We define the timeline after discovery and make those dependencies clear from the start. A chatbot built on clean, current content can move much faster than one that begins with a major content cleanup.
Who owns the conversation data?
Data ownership, storage, access, retention, and usage are defined as part of the solution design. We work with you to determine where conversations are stored, who can access them, and how they can be used for review and improvement.
Can you improve our existing chatbot?
Yes. You do not always need to start from scratch. If your current chatbot is giving poor answers, getting stuck, or sending too many conversations to your team, we can assess what is already there and identify what needs to change. Sometimes the answer is better content or retrieval. Sometimes it is better handover. Sometimes the chatbot is simply the wrong tool.
Ideas worth your time
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Selected work
AI systems running in production, described rather than named.
A UK community pharmacy groupAnswering pharmacy calls without adding headcount.An AI phone receptionist covering twenty stores around the clock, each with its own knowledge base and its data walled off from the rest.20 storesanswered around the clock by one AI receptionistRead the case
A Los Angeles private car serviceTurning every call into a booking.Phone and web bookings answered by AI, written straight into the dispatch system, then rebuilt as a product other operators can buy.24/7booking cover on phone and chat, with nobody on the lineRead the case
A UK e-prescription startupBuilding an e-prescription platform around trust, access, and scale.Clinic management and electronic prescribing with eIDAS-compliant signatures, and a pharmacy lookup that needs no account at all.16 wksfrom kickoff to a launch-ready platformRead the caseWhat we build with
Conversation
- Anthropic Claude
- GPT (OpenAI)
- Retell AI
Channels
- Twilio
- Web chat
- SMS
Knowledge
- pgvector
- OpenAI Embeddings
- PostgreSQL
Partners in delivery
AI Cloud PartnerPartner Network
Ready for a chatbot that actually resolves questions?
Bring your documentation, your top 20 customer questions, and the systems that hold the answers. We will show you what a chatbot can resolve today, where an agent would make more sense, and what needs to be fixed before either one can deliver real value.
Not sure if a chatbot is the right solution? That is exactly what the first conversation is for.